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CSCI 599 (Fall 2003)
Multidimensional Databases
| Course Summary | Reading List | Schedules | Presentations |
| Projects | Project Reports | Related Web Sites | Academic Integrity Policy |
|
CSCI 599 (Fall 2003)
|
| Course Summary | Reading List | Schedules | Presentations |
| Projects | Project Reports | Related Web Sites | Academic Integrity Policy |
| Prof. Cyrus Shahabi | |
|
University of Southern California
Thursday : 11:30 to 12:30 | |
| Description: | |
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During the past decade, multidimensional databases emerged to manage
multimedia data, sensor data, business data and more. The multidimensional
data models and schemas are used to implement current data warehouses, On Line
Analytical Processing (OLAP) systems, and data mining applications. This seminar course covers several research papers related to (a) Time Series data, (b) Data streams, and (c) Sensor Network querying. Each student should present several papers and complete one implementation project related to the multidimensional databases.
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| Time and Location: | |
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Thursday 3:30-6:20pm, THH214
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| Class Format and Evaluation Method: | |
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In general, a class will consist of 1-2 paper presentations, each lasting
45-60 minutes followed by discussions, and a 30-minute implementation project
update. Each paper will be presented by one student. The student is expected
to go beyond the paper to seek online resources and examples that illustrate
the principles and algorithms introduced in the paper. Every student is
expected to complete the assigned reading, be prepared to discuss the articles
in class, and to write a short critical summary of the presentations.
The implementation of selected algorithms with be done in assigned teams of no
more than four. Evaluation is based on: the team project (50%), the individual
paper presentation(s) (35%) and the written paper summaries and participation
(15%).
Please be advised that while students are forming groups, each student's project will be evaluated individually with the projects leader and the instructor.
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| Pre-requisite: | |
| CSCI-585 or CSCI-599: Spatial and Temporal Database | |
All homeworks must be solved and written independently, or you will be penalized for cheating. The USC Student Conduct Code prohibits plagiarism. All USC students are responsible for reading and following the Student Conduct Code, which appears on pp. 73-78 of the 1999-2000 SCampus.
In this course we encourage students to study together. This includes discussing general strategies to be used on individual assignments. However, all work submitted for the class is to be done individually.
Some examples of what is not allowed by the conduct code: copying all or part of someone else's work (by hand or by looking at others' files, either secretly or if shown), and submitting it as your own; giving another student in the class a copy of your assignment solution; consulting with another student during an exam. If you have questions about what is allowed, please discuss it with the instructor.
Students who violate University standards of academic integrity are subject to disciplinary sanctions, including failure in the course and suspension from the University. Since dishonesty in any form harms the individual, other students, and the University, policies on academic integrity will be strictly enforced. We expect you to familiarize yourself with the Academic Integrity guidelines found in the current SCampus.
Violations of the Student Conduct Code will be filed with the Office of Student Conduct, and appropriate sanctions will be given.
